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Opus Mt En Loz
Transformer-based English to Lozi machine translation model developed by the Helsinki-NLP team
Downloads 30
Release Time : 3/2/2022
Model Overview
This model is a neural machine translation model for English to Lozi trained on the OPUS dataset, using transformer-align architecture and SentencePiece preprocessing technology
Model Features
Alignment Mechanism
Uses transformer-align architecture to enhance word alignment capability between source and target languages
Standardized Preprocessing
Employs standardization and SentencePiece techniques for text preprocessing to improve translation quality
OPUS Dataset
Trained on multilingual OPUS dataset with good domain adaptability
Model Capabilities
English to Lozi text translation
Cross-language text conversion
Use Cases
Language Services
Document Translation
Translate English documents into Lozi
Achieved 40.1 BLEU score on JW300 test set
Cross-language Communication Support
Provides real-time translation support for English and Lozi speakers
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